Compared to motorized modes, bike-sharing systems (BSSs) are generally recognized as
an environmentally friendly mode of transport and mobility. Due to the advantages and …

The real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

Advancements in data collection and processing methods have produced large databases
containing high quality vehicular data. Despite this, conventional vehicle-vehicle collisions …

Several studies have advocated the use of extreme value theory (EVT) traffic conflict models
for real-time crash risk prediction using real-time safety indices such as the risk of crash (RC) …

Due to the difficulty of obtaining traffic flow data and conflicts simultaneously, conflict-based
analysis using macroscopic traffic features is much less studied. This research aims to …

Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …

In the within-intersection area, vehicles from different approaches make turning movements
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …

Crash frequency model is often subject to excessive zero observation because of the rare
nature of crashes. To address the problem of imbalanced crash data, a deep generative …

With the acceleration of infrastructure construction, the risk of being exposed to vehicle-
bridge coupling vibration is getting more common for the unhardened cementitious …

LIDAR sensor is capable of recording traffic data including the number of passing vehicles,
pedestrians, and bicyclists, the speed of vehicles, and the number of conflicts among …